Intuit Inc Patent Portfolio Statistics

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Intuit Inc.

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Intuit Inc. look like?

Assignee Art Units
Total Applications: 1,793 1,149,762
Granted Patents: 1,360 551,973
Grant Index 86.96% ↑ 69.89%
Abandoned/Rejected Applications: 204 (13.04%) 237,842 (30.11%)
In-Process Applications: 208 359,947
Average Grant Time: 3.51 Years ↑ 3.26 Years
Average Office Actions: 2.19 ↑ 2.02

Which Technology Area Intuit Inc. is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
3687 Business Methods 91
3627 Business Methods – Incentive Programs, Coupons; Operations Research; Electronic Shopping; Health Care; Point of Sale, Inventory, Accounting; Cost/Price, Reservations, Shipping and Transportation; Business Processing 84
3694 Business Methods – Finance/Banking/ Insurance 70
Opap Parked GAU 69
3691 Business Methods – Finance/Banking/ Insurance 62

How many patents are Intuit Inc. filing every year?

Year Total Applications Predicted
2022 0* 617
2021 32* 578
2020 149 547
2019 134 134
2018 140 –
2017 121 –
2016 134 –
2015 89 –
2014 123 –
2013 128 –

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Intuit Inc. in USPTO?

Publication number: US20220092436A1
Application number: 17/543,262

Abstract:
A method and system learn functions to be associated with data fields of forms to be incorporated into an electronic document preparation system. The functions are essentially sets of operations required to calculate the data field. The method and system receive form data related to a data field that expects data values resulting from performing specific operations. The method and system utilize machine learning and training set data to generate, test, and evaluate candidate functions to determine acceptable functions.

Publication date: 2022-03-24
Applicant: Intuit Inc.
Inventors: Mukherjee Saikat

Publication number: US20220091733A1
Application number: 17/541,771

Abstract:
Certain aspects of the present disclosure provide techniques for generating a user experience for a software program product based on a knowledge engine. Techniques for generating the user experience include a UI builder tool providing a set of tabular UI views and receiving in each tabular UI view corresponding input data for generating a calculation graph, a completeness graph, and a client UI view. Based on the input data, the UI builder tool and knowledge engine can generate a set of artifact files. The knowledge engine can generate and/or execute the calculation and completeness graphs as defined in the corresponding artifact files. The UI builder tool can generate an instance of the client UI view. With the generated calculation graph(s), completeness graph(s), and an instance of the client UI view, the user experience can be provided to a computing device.

Publication date: 2022-03-24
Applicant: Intuit Inc.
Inventors: Chiang Chang Justin Rui

Publication number: US20220084058A1
Application number: 17/456,907

Abstract:
Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Publication date: 2022-03-17
Applicant: Intuit Inc.
Inventors: A Igor Podgorny

How are Intuit Inc.’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/543,262 System And Method For Automatic Learning Of Functions Docketed New Case – Ready for Examination OPAP Central, Docket
17/541,771 Knowledge Engine Auto-Generation Of Guided Flow Experience Docketed New Case – Ready for Examination OPAP Central, Docket
17/456,907 Predicting Application Conversion Using Eye Tracking Docketed New Case – Ready for Examination OPAP Central, Docket
17/531,530 Deep Learning Approach To Mitigate The Cold-Start Problem In Textual Items Recommendations Docketed New Case – Ready for Examination OPAP Central, Docket
17/455,179 Map Data Filtering For Simulated-Driving-Environment Generation Docketed New Case – Ready for Examination OPAP Central, Docket